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Data and Knowledge Advisor at Moorhouse Knowledge Management is undergoing a transformation, moving beyond conventional document management systems. At Moorhouse, this evolution is pivotal to maintaining our position as a leader in thought leadership and capability development. Our objective is to empower our consultants to consistently exceed the expectations of our diverse clientele. This new position coordinates data management, environmental alignment, and knowledge/document control across the business. Shaped by new AI capabilities, it focuses on improving how information is captured, governed, and shared. The post holder will advance our knowledge management strategy and support our Integrated Management System to keep processes consistent and audit ready. In addition, the post holder will support effective data management by helping define a robust data warehouse approach, ensuring information is structured, governed, and accessible for reporting and decision making. This includes overseeing storage management practices (e.g., retention, access control, and lifecycle management) so data remains secure, compliant, and cost effective. In parallel, the role contributes to environmental management by enabling carbon related data compliance to support continuous improvement against our sustainability goals. Moorhouse is currently unable to offer visa sponsorship for this role. Unfortunately, this means we are not able to progress applications from candidates who would require sponsorship now or in the future. Responsibilities The role forms part of the newly established SOCKET Team (Security, Office, Compliance, Knowledge, Environment and Tech function, which is dedicated to business enablement. Our team brings together expertise in compliance, audit, software development, and AI tools, thereby enhancing organisational insights and capabilities. Assisting the Knowledge Manager in re energising the intranet Connect Moor and offering a single source of truth by publishing daily news and articles, conducting weekly site audit to ensure content remains engaging and implementing new intranet features utilising the Microsoft suite. Promoting and supporting the use of digital collaboration tools while overseeing knowledge management systems against our environmental strategy. Reviewing data strategy against our latest MS tools and requirements for clients. Data management ensuring data retention and best practice for client projects closure. Supervising document management and creating content for Connect Moor. Developing, analysing and dissemination metrics reports based on Connect Moor activities. Day to day responsibility for IT tickets. Day to day responsibility for responding to queries across our platforms from our Business Support SMEs. Help maintain and improve existing Knowledge Management assets where needed. Maintain good data handling practices, including awareness of data protection, retention, and governance requirements. Lead coordinator for the annual external ISO audit, including evidence collation, stakeholder coordination, and action tracking. Essential skills and experience 1 to 3 years' proven experience in a Knowledge Management role where excellent attention to detail and multitasking were required. Strong understanding of Knowledge Management principles and KM ecosystems. Understanding of the impact of data warehouse and carbon footprint on the business. Strong data management skills, including retention, information governance, and practical application of data strategy. Working knowledge of AI governance and responsible use (privacy/confidentiality, bias awareness, validation). Strong understanding of international business standards including ISO9001, ISO14001, GDPR for both UK and Europe. Analytical capability to build and interpret usage metrics and produce concise reports for stakeholders. Excellent communication, stakeholder management, problem solving and analytical skills. Excellent written and verbal communication skills. Must be commercially aware. Essential attributes Proactive and solutions focused; identifies opportunities to simplify and standardise. Service oriented and responsive, balancing priorities across multiple stakeholders. Continuous improvement mindset; documents processes and uses feedback and metrics to improve adoption. Ability to drive innovation and continuously improve business enablement ecosystem. Ability to pick up new technology quickly, be adaptable and open to change. Ability to work to strict deadlines. Ability to work independently and within a team. Ability to effectively collaborate across Sector and Service Line teams. Ability to prioritise work in a rapidly changing and fast paced environment. Confident, approachable and enjoys working with people. A willingness to work towards achieving ISO 9001 Lead Auditor status within 12 months of starting to support Moorhouse internal continuous improvement. Not afraid to make mistakes and test innovation boundaries. Additional information Candidates must be working towards becoming an expert in Purview. Moorhouse will pay for the candidate to achieve ISO 900 Lead Auditor course in support of our belief in continuous improvement of our Information Management System (IMS). Attendance in the office is expected three days per week. Responsibilities include serving as a member of the evacuation team, acting as Fire Warden, and providing First Aid. Active participation is required in the emergency evacuation team as part of corporate responsibility. Technical Skills Extensive experience with Copilot, agents, chatbots, and other artificial intelligence technologies. Advanced proficiency in SharePoint and the Microsoft 365 suite. Familiarity with third party collaboration tools such as Mural and Mentimeter and willingness to develop these tools further. Key relationships Acting as a champion for Connect Moor and other knowledge tools. Prominent member of our Responsible Business Team. Symbiotic relationship between data and our environment as part of being RB this is built in the role to champion our corporate responsibilities & environment commitments. Cultivating relationships with a broad range of stakeholders including the Sector and Service Lines teams and Business Support teams. Collaborating with other cross team initiatives, IMS/Compliance and the Accelerate Squad (our innovation team). Working with groups across the firm to identify champions who can support the integration of new solutions. What we can offer you: You will receive a base salary up to £36,000 plus a discretionary bonus. 25 days' annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well being benefits through Perkbox. Enhanced family friendly package: generous parental pay, flexible working options, and paid time off for family commitments so you can balance work and home life with confidence. Our offices are based near Liverpool Street in London. We support flexible and hybrid working. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally.

Follow a practical AI Engineer & Developer career path with instructor-led training in Python, Machine Learning, Deep Learning, Generative AI, LLMs, RAG, APIs and AI application development. An AI Engineer & Developer designs, builds, integrates, and deploys Artificial Intelligence solutions that can analyse data, automate tasks, generate content, answer questions, make predictions, and support intelligent decision-making. The London Academy of IT AI Engineer & Developer Career Path is designed to help learners build practical AI development skills using modern technologies including Python, Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), APIs, Vector Databases, and AI Frameworks. This pathway focuses on both the engineering and application-development sides of Artificial Intelligence. Learners progress from programming and data foundations into building real-world AI-powered applications such as chatbots, intelligent assistants, document analysis systems, recommendation engines, AI automation tools, and agentic AI solutions. As organisations increasingly adopt AI technologies, there is growing demand for professionals who can move beyond simply using AI tools and instead build, customise, integrate, and deploy AI solutions that solve real business problems. AI engineering skills are becoming increasingly valuable across industries including technology, finance, healthcare, education, consulting, retail, government, and enterprise automation. This career path is suitable for aspiring AI Engineers, Software Developers, Data Professionals, Technical Consultants, Automation Specialists, and learners who want to build modern AI applications using todays rapidly evolving technologies. Recommended Learning Pathway Complete these milestone training steps sequentially to achieve full proficiency: This career path is designed to be accessible to programming enthusiasts, backend developers, and tech career changers. While no previous background in artificial intelligence is required to start, having a strong foundation in basic computing logic, step-by-step problem-solving, and clean script writing will help you progress through the advanced modules smoothly. To establish professional-grade technical authority as an AI Engineer, you should develop comprehensive skills in: Advanced Python programming, object-oriented software design, and API integrations Data preparation, feature scaling, and feature optimisation libraries like Pandas and NumPy Supervised and unsupervised predictive model structures using Scikit-Learn algorithms Deep learning systems, neural network topologies, and computer vision models using TensorFlow Large Language Model (LLM) prompts, engineering strategies, and fine-tuning APIs via OpenAI, Claude, and Hugging Face Retrieval-Augmented Generation (RAG) implementation and vector database logic for custom enterprise knowledge bases Agentic AI frameworks, automated tool calling, and multi-agent systems designed to perform autonomous tasks Day-to-Day Responsibilities AI Engineers combine software engineering principles with data science capabilities to design, test, build, and maintain smart software systems that automate manual tasks and power conversational platforms. Writing clean, robust, and scalable Python code to run AI algorithms across web and software environments Integrating commercial LLM APIs and open-source models into custom company applications Designing and building RAG data pipelines to connect internal company documentation safely to conversational interfaces Training, testing, and optimising predictive machine learning models to analyse user actions or business trends Developing autonomous AI agents capable of performing multi-step workflows, tool calls, and background automation Collaborating with software developers, product management teams, and infrastructure engineers to roll out AI features securely Monitoring model responses to prevent hallucinations, secure data inputs, and ensure your system meets quality standard metrics Market Opportunities & Career Landscape The marketplace for artificial intelligence development is experiencing rapid, unprecedented growth. Industries ranging from finance, customer experience networks, healthcare systems, retail automation platforms, and legal tech consulting firms are actively restructuring operations around generative workflows, custom language models, and autonomous software agents. Because these technologies are evolving so quickly, organisations face an immense shortage of engineers who know how to deploy and manage AI systems rather than just use ready-made chatbots. This significant talent gap creates excellent, high-value career opportunities for professionals who can bridge the gap between classic backend engineering and smart model deployment workflows. This path provides an ideal blueprint for software engineers looking to move into high-demand AI development, data analysts transitioning into model automation roles, and technical entrepreneurs looking to prototype and launch smart software products. At London Academy of IT, we provide instructor-led online and in-person IT training in Data Analytics, SQL, Python, Power BI, and more. Our cutting-edge courses are designed to boost performance and enhance employability, providing the competitive edge employers look for. Our Contacts London Academy of IT 64 Broadway Stratford London E15 1NT United Kingdom

Professional Services Consultant Building an AI first organisation is central to Clinisys' purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI enabled, cloud based platforms to enhance diagnostic workflows across healthcare, life sciences, and public health. By applying intelligent technology thoughtfully and responsibly, we help laboratories and testing environments operate more effectively, generate meaningful insights at scale, and ultimately support healthier and safer communities. Operating across more than 30 countries, Clinisys expects all colleagues-regardless of role or function-to work confidently with AI enabled tools, apply digital and analytical thinking, and continuously adapt as technologies evolve, must drive an AI first sense of purpose and urgency. Clinisys has built an unrivalled reputation for deploying complex diagnostic networks and academic centres - and is the only provider to repetitively deliver to all disciplines end to end - at scale. Fostering healthier communities. Role Description To implement the Clinisys Software and associated applications into laboratories and other clients as directed by the Project Manager to satisfy the customer and business requirements. To act in a consultative role, with the customer, in configuring the Clinisys Software to enhance the workflow of the laboratory. To be an instrumental element in the functional development of the Clinisys Products. To keep abreast of ongoing and future Laboratory regulations, working practices, products and technologies. To actively advocate, initiate, and implement quality improvement measures/projects in conjunction with the Delivery leadership. Where applicable to carry out project based activity as directed to satisfy the customer and business requirements. Responsibilities To comply with the Clinisys codes of conduct and guidelines. To understand, comply and develop with customer and Clinisys procedures, working practices and directives in a timely manner. To understand our Customers' workflow, advise and assist with Clinisys products and configuration to facilitate these needs. To be fully conversant with the functionality of the product of your discipline. To be conversant with the core functionality of all products. Assist Project manager with the implementation; that will include time management, resource planning and working with Customer representatives. Use AI enabled tools to support project delivery activities, including task planning, time management, status reporting, customer workshops, and preparation of customer and leadership level summaries, in support of efficient and high quality implementations within an AI first operating environment. Apply and advocate responsible AI usage in delivery and customer engagements, ensuring day to day use of AI tools aligns with Clinisys' AI governance, data protection, and quality standards, and escalating any risks, concerns, or non compliance to the Project Manager or Delivery leadership. Consistently meet and sustain performance against the established utilization target, ensuring optimal time allocation on projects while minimizing non productive periods. Comprehend the Customers' requirements as specified in the Project Initiation Document (PID). Contribute to the development of the Software product. To make recommendations based on customer feedback with regard to software changes and enhancements. Deliver relevant training courses for key users, as required. To attend team meetings and agreed training courses. To be responsive to reasonable requests from your line manager or project managers. Contribute to and support team members and build knowledge base. Knowledge, Skills & Abilities Skills needed to be successful BMS 2 or above status in the UK Healthcare sector. Equivalent standing or experience in other sectors such as life sciences and public health. Ability to travel throughout the UK and where appropriate, abroad. Driving Licence. A working knowledge of Artificial Intelligence (AI) technologies and the ability to leverage them to improve processes and outcomes. With a good understanding of core AI concepts and demonstrable ability to use AI tools to support day to day tasks. Strong motivational skills - can deliver the tasks in difficult circumstances. Excellent verbal and written communication skills; including communicating with technical and non technical clients and staff at all organisational levels. High levels of commitment and ability to take action when necessary. Ability and willingness to work independently. Customer service skills. Ability to create and deliver executive level summary reports and presentations. IT trained, experience in HL7, integration products e.g. Rhapsody, or experience of XML, Java scripting would be also useful. Required Experience & Education Bachelor's degree. Experience within an IT or software providers organisation or implementation. Moderate experience in a project management environment is desirable. Any equivalent combination of education and/or experience providing the knowledge/skills/abilities listed above may be substituted. Onboarding As part of our onboarding process, all new employees will be required to attend / travel to the office on their first day of employment. This requirement is essential for onboarding activities, including the identity verification, completion of necessary documentation, receiving your IT equipment, introductions to key team members, and orientation to Clinisys policies and procedures.

The AI Operating System for Private Capital. Capsa AI Private capital funds have to find potential investments, research and analyse them thoroughly, monitor them over time, drive improvements, and decide when to buy and sell. They've got to see through the marketing. They've got to outbid the competition. And they've got to learn from every deal they do. Historically, these processes have run on people, we are building the AI Operating System that will run them in the future. We're focused, ambitious, and obsessed with building a category-defining company. In the last 12 months we've grown ARR 15x, achieved product-market fit with leading multi-billion-dollar PE firms, and expanded across the US, UK, and Europe. Now we're doubling down: we've raised a large Series A from top-tier VC investors to scale the team. We're hiring hyper-talented people who want to work at the forefront of AI and revolutionise an industry. At a glance Role: AI Consultant Location: London, UK (Hybrid, in-person 4 days per week). Experience Required: Several years in private equity, investment banking or management consulting (specifically with M&A experience) Compensation: Highly Competitive Salary + ESOP The role Sit between the product and the most sophisticated buyers in private capital. Drive adoption, prove ROI, and turn Proof-of-Concept Pilots (PoCs) into long-term partnerships. This role sits at the heart of how Capsa wins and keeps its biggest customers. You'll guide Private Capital funds through implementation, design PoCs that convert pilots into multi-year contracts, and refine the playbook the team runs on as we scale. You report to the CRO, work hand in glove with sales and product, and your work directly shapes both revenue and the product roadmap. The opportunity Client implementation. Guide clients through technical setup, integrations (CRM, data platforms like FactSet), and workflow optimisation. Proof of concept. Design and run PoC engagements that demonstrate clear, measurable ROI during the trial period. Set the bar candidates expect. Adoption and use cases. Identify high-value applications across deal sourcing, due diligence, and portfolio monitoring. Train client teams to execute and embed Capsa into their workflows. PoC to paid conversion. Partner with sales to convert engaged PoCs into paying enterprise clients. You're measured on conversion, not activity. The consulting playbook. Build the repeatable implementation frameworks, training materials, and success metrics that the function will run on as we scale. Executive engagement. Present usage analytics, insights, and strategic recommendations to client C suite and AI committees. Product feedback loop. Work closely with the product team to influence the roadmap based on client needs and market signals. Commercial support. Help scope statements of work, surface expansion opportunities, and contribute to contract negotiations. Why Capsa Exceptional traction. 15x ARR growth in 12 months, PMF with top PE funds managing over $1tn AUM. Category leadership. Defining the AI operating system for private capital markets. High impact role. Direct line to the CEO and CRO. You shape how sophisticated clients embed AI into investment decisions. Career step change. Move from PE, banking or consulting into one of the most watched AI companies in private capital. The kind of move that compounds. Backed by the best. Top VCs and senior PE execs from Warburg Pincus, KKR, and Goldman Sachs. Track record Several years in private equity, management consulting, or investment banking. You've worked in or alongside the buyers we sell to. You understand how PE firms operate, what they value, and how decisions actually get made. Exceptional academic record. A Bachelor's or Master's in Business, Economics, STEM, or a comparable subject from a top-tier university or business school, or an equivalent record of academic achievement. Strong written, verbal, and presentation skills. You can run a C suite briefing, write a board ready deck, and lead a workshop. Comfortable with diverse audiences at any level. Project management. You manage multiple workstreams and tight deadlines with autonomy. You don't wait to be told what's important. AI curious. Experience with foundation models (ChatGPT, Claude, Gemini, etc.) is a requirement, with experience with tools such as Claude Code, Cursor, Lovable and others being a plus. We expect everyone here to use AI to compound their own output. How you operate Client obsessed. Confident presenting to C suite, facilitating workshops, and managing multi stakeholder relationships. Builder. Energised by creating processes, playbooks, and frameworks in fast paced startup environments. Low ego, high ownership, bias for action over planning theatre. Direct communicator. You make decisions, write them down clearly, and tell the team why. Comfortable disagreeing with the founders and the CRO when you believe you're right. Genuinely curious about AI. Using it to compound your own output and building it into how the function operates. If this opportunity excites you We'd like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you'd own in the first six months. Capsa AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Capsa AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization. Please be advised that we may use artificial intelligence driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. At Salesforce, we are seeking outstanding individuals to join our team as an Apromore Solution Engineer with a strong technical background and deep expertise in process intelligence, data engineering, and AI driven solutions. In this role, you will go beyond traditional pre sales; you will be pivotal in bridging the gap between process perception and reality, designing bespoke B2B solutions, and acting as a trusted technical advisor to safely guide enterprise clients through their automation and Agentic AI adoption journey. About Apromore Apromore is a global leader in AI driven process intelligence technology. Now part of Salesforce, Apromore provides organizations with an "Intelligent Process Twin" to gain complete operational transparency. As enterprises rush to scale AI, Apromore bridges the gap between process perception and reality, acting as the critical backbone that enables organizations to systematically discover, de risk, deploy, and govern Agentic AI automation across the enterprise. About the Role As a key technical anchor within our Apromore Specialist team, you will partner directly with Account Executives to advance and close enterprise opportunities by establishing deep technical credibility. This is a hands on, high impact role requiring pre sales depth and engineering mastery. You will target, among others, enterprise clients who are scaling AI into production, leveraging Apromore's process intelligence capabilities to precisely identify high propensity, high ROI use cases for AI agents (such as Agentforce). You will guide C level executives and technical stakeholders away from broad anecdotes and align them onto data driven, value backed technical solutions. What you'll be doing: Run Great Technical Discovery: Partner with AEs to conduct comprehensive technical discovery sessions. Analyze sophisticated business problems, uncover real technical blockers, mapping architecture constraints to design optimized "To Be" processes. Prototyping & Hands on Implementation: Act as a "builder" by constructing Proof of Concepts (PoCs) and minimum viable prototypes. Ingest historical event logs into Apromore to capture factual baselines and empirically validate the technical feasibility of proposed agentic automations, replatforming initiatives, and cost saving opportunities. Data Configuration & Architecture: Guide customers on end to end data connectivity. Assist client teams in designing robust process data models, building efficient ETL/processing pipelines, and seamlessly integrating enterprise data ecosystems (such as Salesforce Data Cloud, Snowflake, or legacy ERPs). Deliver Value Based Technical Messaging: Fluent in both API and ROI, you will translate working prototypes into solid business cases. Help executive decision makers across Automation/AI, Digital Transformation, Operational Excellence, and Risk & Compliance understand how process optimization maps to financial business impact. De Risk Agentic AI Deployments: Help customers envision and safely activate autonomous AI agents. Employing your technical depth, demonstrate how clean process context, clear handoffs, and well understood workflows are required to deploy agents safely, productively, and within trust guardrails. Deliver Training & Consultancy Projects: Lead and execute professional service engagements in process intelligence, technical onboarding, and specialized training programs for enterprise clients. Serve as the primary consultant to ensure successful customer adoption, guiding their teams on advanced process intelligence methodologies and execution best practices. Scale Engineering Impact: Contribute to the broader solutions community by building reusable assets, reference architectures, demo innovations, and mentoring junior Solution Engineers. What you should have: 5+ Years of Experience in customer facing technical selling roles (Solution Engineer, Technical/Solution Architect, Forward Deployed Engineer) or technical project delivery roles. Process Intelligence Expertise: Background working with process analytics, process mining, task mining, process simulation and data driven business process management concepts. Strong Data Engineering Skills & Builder Credibility: Experience working with SQL, Python and building data pipelines and API integrations. AI Fluency: Familiarity with LLMs, prompt engineering, and agentic orchestration frameworks. Sales Instinct & Commercial Curiosity: An understanding of how pre sales fits into a complex enterprise deal cycle. You are energized by solving technical puzzles that directly unlock commercial success. Exceptional Relationship Building: Proven ability to connect and communicate technical concepts fluidly to diverse stakeholders, ranging from C suite executives to IT infrastructure and database teams. Education: Bachelor's degree in Computer Science, Software Engineering, Data Science/AI, or equivalent. Characteristics: An outstanding blend of technical depth, strategic business acumen, and low ego collaboration. An agile, "roll up your sleeves" layout to problem solving that favors progress over perfection. Intellectual openness and the ability to comfortably navigate ambiguity. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via the Accommodations Request Form. We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt in to the interview scheme as part of the application process. If you would like to apply under the scheme, please use the Accommodations Request Form and scroll to the UK Disability Confident Scheme section within the form. Also note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see the Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Know your rights: workplace discrimination is illegal.

Overview Job Role: AI Engineer - Strategy Consultant Location: London Career Level: 9 Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual, and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. QuantAI is building cutting-edge AI-native decision-system assets for energy, commodities, financial, trading, and industrial operations. We are looking for engineers who can take strong quantitative and artificial intelligence (AI) work and turn it into enterprise-safe products: interfaces, packaged desktop applications, APIs, services, workflow systems, and demos that are credible enough for pilots and durable enough for scaled delivery. Success here is not raw model novelty or polished demos in isolation. It is strong algorithms wrapped in workflow, governance, evaluation, and packaging. This role is engineer-first and shipping-first. The engineering covers two surfaces that both ship as product: conventional systems on one side, agent-assisted systems on the other. The team is too small for either to be someone else's problem, and you should be able to operate across both-though you will likely lead with strength in one. What you'd work on Turn quantitative prototypes into reusable tools, services, packaged desktop applications, interfaces, and workflow products that can move from internal demo to client pilot to scaled offer. Ship across both cloud-hosted services and locally distributed desktop applications, including Electron-based apps when the workflow or client environment calls for it. Build enterprise hardening into the productization layer, including authentication, role-based access control (RBAC), observability, security, release quality, cost controls, and deployment discipline. Build evaluation, regression, and release discipline into the productization layer so model logic and agent behavior remain measurable as systems change. Work closely with the quant lead so model logic, evaluation intent, and governance requirements survive the move into production. Make pragmatic architecture choices across large language models (LLMs), deterministic rules, and hybrid systems based on value, latency, cost, and reliability. Help shape repeatable build patterns so strong prototypes become faster, more reliable, and more reusable over time. Platforms and interfaces Own data flows, APIs, services, model-serving surfaces, front-end and desktop application surfaces, CI/CD, and demo hardening. Build the systems that make quantitative work feel polished, reliable, and enterprise-ready for expert users and client stakeholders. Agent-assisted systems Own the agentic harness layer - evaluation frameworks, reviewer loops, control-plane behavior, orchestration, and tool integration - that applications and MCPs wrap around. Design opinionated harnesses that expose through MCP or similar integration patterns without overfitting to one vendor or one moment in the tooling market. Must-have Bachelor's degree in computer science, engineering, mathematics, physics, economics, or a related field. An associate degree is acceptable with at least 2 additional years of directly relevant experience and evidence of shipped engineering work. Minimum 3 years of experience in consulting or other client-facing technical delivery roles, with evidence of moving products, internal tools, or workflow systems beyond proof-of-concept. Minimum 3 years of hands-on experience in one or more of: backend services, APIs and integrations, full-stack delivery, data pipelines, model-serving or machine learning workflows, or agentic orchestration systems. Strong coding ability in Python plus one complementary engineering surface such as TypeScript or JavaScript, front-end delivery, cloud or platform engineering, or infrastructure automation. Experience with enterprise hardening and evaluation, including authentication, RBAC, observability, security, release discipline, regression testing, or experiment frameworks for AI/machine learning/agentic workflows. Nice-to-have Experience with tool-using systems, retrieval, evaluation pipelines, agent orchestration, or MCP-style integrations. Experience building expert-facing interfaces, workflow products, or technical demos for real users. Experience packaging desktop applications or supporting Windows-heavy enterprise environments. Exposure to forecasting, anomaly detection, optimization, time-series workflows, or other decision-support tasks. Experience in energy, commodities, financial, trading, market operations, or industrial workflows. Team and environment QuantAI sits between quantitative research, agentic engineering, and product delivery inside Accenture. The team is small, hands-on, and built for people who want visible ownership and the chance to build something lasting. The goal is reusable assets clients can trust, buy, and scale. Direct technical feedback, growing scope, and close collaboration with quants and practice leadership are expected. This is a small-team build environment with real route-to-market access in energy, commodities, financial, trading, and industrial decision systems. The work needs to stand up in front of business decision makers and operators, not just engineers. Equal Employment Opportunity We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. About Accenture Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Visit us at Application note Equal Employment Opportunity Statement (continued): We believe that no one should be discriminated against because of their differences. The rest of the components are included above as part of the standard EEO language.

Specialist Solution EngineerApplyremote type: Office - Flexiblelocations: United Kingdom - Londontime type: Full timeposted on: Posted Todayjob requisition id: JR344345 To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job CategorySalesJob Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. At Salesforce, we are seeking outstanding individuals to join our team as an Apromore Solution Engineer with a strong technical background and deep expertise in process intelligence, data engineering, and AI-driven solutions. In this role, you will go beyond traditional pre-sales; you will be pivotal in bridging the gap between process perception and reality, designing bespoke B2B solutions, and acting as a trusted technical advisor to safely guide enterprise clients through their automation and Agentic AI adoption journey. About Apromore Apromore is a global leader in AI-driven process intelligence technology. Now part of Salesforce, Apromore provides organizations with an "Intelligent Process Twin" to gain complete operational transparency. As enterprises rush to scale AI, Apromore bridges the gap between process perception and reality, acting as the critical backbone that enables organizations to systematically discover, de-risk, deploy, and govern Agentic AI automation across the enterprise. About the Role As a key technical anchor within our Apromore Specialist team, you will partner directly with Account Executives to advance and close enterprise opportunities by establishing deep technical credibility. This is a hands-on, high-impact role requiring pre-sales depth and engineering mastery. You will target, among others, enterprise clients who are scaling AI into production, leveraging Apromore's process intelligence capabilities to precisely identify high-propensity, high-ROI use cases for AI agents (such as Agentforce). You will guide C-level executives and technical stakeholders away from broad anecdotes and align them onto data-driven, value-backed technical solutions. What you'll be doing: Run Great Technical Discovery: Partner with AEs to conduct comprehensive technical discovery sessions. Analyze sophisticated business problems, uncover real technical blockers, mapping architecture constraints to design optimized "To-Be" processes. Prototyping & Hands-on Implementation: Act as a "builder" by constructing Proof of Concepts (PoCs) and minimum viable prototypes. Ingest historical event logs into Apromore to capture factual baselines and empirically validate the technical feasibility of proposed agentic automations, replatforming initiatives, and cost-saving opportunities. Data Configuration & Architecture: Guide customers on end-to-end data connectivity. Assist client teams in designing robust process data models, building efficient ETL/processing pipelines, and seamlessly integrating enterprise data ecosystems (such as Salesforce Data Cloud, Snowflake, or legacy ERPs). Deliver Value-Based Technical Messaging: Fluent in both "API" and "ROI," you will translate working prototypes into solid business cases. Help executive decision-makers across Automation/AI, Digital Transformation, Operational Excellence, and Risk & Compliance understand how process optimization maps to financial business impact. De-Risk Agentic AI Deployments: Help customers envision and safely activate autonomous AI agents. Employing your technical depth, demonstrate how clean process context, clear handoffs, and well-understood workflows are required to deploy agents safely, productively, and within trust guardrails. Deliver Training & Consultancy Projects: Lead and execute professional service engagements in process intelligence, technical onboarding, and specialized training programs for enterprise clients. Serve as the primary consultant to ensure successful customer adoption, guiding their teams on advanced process intelligence methodologies and execution best practices. Scale Engineering Impact: Contribute to the broader solutions community by building reusable assets, reference architectures, demo innovations, and mentoring junior Solution Engineers.What you should have: 5+ Years of Experience in customer-facing technical selling roles (Solution Engineer, Technical/Solution Architect, Forward Deployed Engineer) or technical project delivery roles. Process Intelligence Expertise: Background working with process analytics, process mining, task mining, process simulation and data-driven business process management concepts. Strong Data Engineering Skills & Builder Credibility: Experience working with SQL, Python and building data pipelines and API integrations. AI Fluency: Familiarity with LLMs, prompt engineering, and agentic orchestration frameworks. Sales Instinct & Commercial Curiosity: An understanding of how pre-sales fits into a complex enterprise deal cycle. You are energized by solving technical puzzles that directly unlock commercial success. Exceptional Relationship Building: Proven ability to connect and communicate technical concepts fluidly to diverse stakeholders, ranging from C-suite executives to IT infrastructure and database teams. Education: Bachelor's degree in Computer Science, Software Engineering, Data Science/AI, or equivalent.Characteristics: An outstanding blend of technical depth, strategic business acumen, and low-ego collaboration. An agile, "roll-up-your-sleeves" layout to problem-solving that favors progress over perfection. Intellectual openness and the ability to comfortably navigate ambiguity.Unleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

About Tungsten Automation Tungsten Automation (formerly Kofax) is a global leader in AI-powered workflow automation solutions. We specialize in streamlining data-intensive workflows, driving digital transformation, and delivering intelligent automation solutions for enterprises worldwide. Our TotalAgility platform is at the forefront of revolutionizing intelligent document processing, workflow automation, and process orchestration. About This Role We are seeking a highly skilled and innovative Sr AI Solutions Consultant to design and implement cutting-edge AI-driven solutions using Tungsten Automation's platform. This role combines deep technical expertise specifically with artificial intelligence, strategic consulting, and solution design to deliver transformative automation outcomes for enterprise clients. The ideal candidate will be a trusted advisor to clients, leveraging artificial intelligence along with the Tungsten Automation platform to solve complex business challenges and drive digital transformation initiatives. What You'll Do Solution Architecture and Design Lead AI-Powered Solutions: Design and implement AI-powered automation solutions using the TotalAgility platform, with a focus on leveraging AI/GAI technologies and large language models (LLMs) Advanced AI Integration: Apply experience with retrieval-augmented generation (RAG), vector databases (e.g. Pinecone, Weaviate, FAISS), and enterprise search for AI-driven knowledge discovery Optimize AI Performance: Utilize practical experience designing structured prompts, fine-tuning models, and cost optimization strategies Cloud Architecture: Incorporate cloud architecture best practices to design scalable, secure, and efficient deployments of TotalAgility solutions Technical Expertise and Innovation Platform Expertise: Act as the subject matter expert on the TotalAgility platform, staying up to date with its features, capabilities, and roadmap Tungsten Solutions Knowledge: Maintain a firm understanding of all primary Tungsten Automation solutions and offerings AI and ML Capabilities: Leverage AI and machine learning capabilities, including natural language processing (NLP), computer vision, and LLMs, to optimize document processing, data extraction, and decision-making workflows Technology Innovation: Identify opportunities to integrate emerging technologies into client solutions, driving innovation and competitive advantage Client Engagement and Consulting Strategic Partnership: Partner with enterprise clients to conduct discovery sessions, assess business needs, and recommend tailored automation strategies Technical Presentations: Deliver compelling technical presentations, product demonstrations, and proof-of-concept engagements to showcase the TotalAgility platform's value Stakeholder Relationships: Build trusted relationships with key stakeholders, including C-level executives, to drive adoption and long-term success of Tungsten Automation solutions Production AI Experience: Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines) Thought Leadership: Provide thought leadership on AI-driven automation trends and best practices, both internally and externally Collaboration and Cross-Functional Leadership Product Alignment: Collaborate closely with Product Management and Strategy teams to align client needs with the TotalAgility platform's roadmap and strategic direction Strategic Feedback: Provide feedback to Product Management and Strategy on emerging trends, client requirements, and opportunities for innovation Team Collaboration: Work with Professional Services and Sales teams to ensure seamless solution delivery and client satisfaction Mentorship: Mentor and support junior team members, fostering a culture of innovation and technical excellence Strategic Engagements Key Client Management: Serve as the primary point of contact for high-value clients and partners, building trusted relationships and driving long-term partnerships Adoption Leadership: Lead strategic initiatives to expand the adoption of Tungsten Automation's solutions across client organizations Continuous Improvement: Identify opportunities for innovation and continuous improvement in client workflows, leveraging Tungsten Automation's cutting-edge technologies Security & Compliance Enterprise Security: Maintain a strong grasp of enterprise security practices (IAM, data encryption, SOC2, GDPR, HIPAA) when integrating AI into regulated industries Utilizes AI-enabled tools (e.g., chatbots, document automation, analytics assistants) to improve efficiency, accuracy, and streamline routine tasks while following company AI governance and data privacy standards What You Bring Educational Foundation Bachelor's degree in Computer Science, Information Systems, or a related technical field required Advanced degree preferred Relevant AI/ML certifications are a plus Professional Experience 10+ years proven experience in solution architecture, AI-driven automation, or a related field, with a focus on enterprise-scale implementations Deep AI expertise with technical understanding of AI/GAI technologies, including LLMs, machine learning, NLP, and computer vision, and their application in business automation Platform knowledge with strong technical knowledge of the TotalAgility platform or similar intelligent automation platforms Integration experience with expertise in using APIs, RESTful web services, and Tungsten Automation's SDK to integrate and customize solutions Cloud deployment experience with cloud architecture and deployments, including designing scalable and secure cloud-based solutions Core Competencies Technical Skills Experience with cloud architecture and deployments Understanding of enterprise security practices and compliance frameworks Knowledge of AI/ML model deployment and production management Skills in prompting AI systemsand assessing output quality Ability to leverage AI to ideate, develop, and scale to the needs of their department Communication & Leadership Exceptional communication and presentation skills, with the ability to engage both technical and non-technical audiences Strategic mindset with a passion for driving digital transformation and delivering measurable business outcomes Proven ability to build relationships with C-level executives and senior stakeholders Experience mentoring and developing technical talent Why Join Tungsten Automation? Be part of a global leader in AI-powered workflow automation, recognized for setting industry standards in intelligent automation and process orchestration Work on cutting-edge solutions that transform business processes for enterprise clients Collaborate with a team of innovative professionals dedicated to driving customer success and digital transformation Travel Requirements Up to 50% travel required to support client engagements and solution delivery.

Digital & AI Strategy Manager at Masdar - London, England, United Kingdom Company Description Masdar is the UAE's clean energy champion and one of the largest companies of its kind in the world, advancing the development and deployment of renewable energy and green hydrogen technologies to address global sustainability challenges. Established in 2006, Masdar is today active in over 40 countries, helping them to achieve their clean energy objectives and advance sustainable development. Masdar is jointly owned by Abu Dhabi National Oil Company (ADNOC), Mubadala Investment Company (Mubadala), and Abu Dhabi National Energy Company (TAQA), and under this ownership the company is targeting a renewable energy portfolio capacity of at least 100 gigawatts (GW) by 2030 and an annual green hydrogen production capacity of up to 1 million tonnes by the same year. Job Description Purpose for the role: The role entails driving the identification, development, and implementation of Digital & AI use cases across the Global Offshore Wind (GOFSW) and UK Battery Energy Storage System (BESS) teams, with close collaboration with technical and operational stakeholders. This includes developing and maintaining a clear IT & AI strategy and roadmap for the GOFSW & UK vertical (aligned with overall business strategy), supporting business case development for prioritized use cases, fostering cross-departmental knowledge-sharing to scale successful applications, as well as leading change management to support implementation & adoption. In collaboration with HQ teams, cascade the overall Masdar Digital & AI priorities & strategy into a clear & consistent Digital & AI strategy & roadmap for GOFSW & UK vertical, in alignment with corporate objectives and GOFSW&UK business priorities. Maintain the roadmap, translating strategic goals into actionable plans, ensuring initiatives are prioritized by impact, feasibility, and alignment with technical capabilities. Develop & maintain technology roadmap for Vertical (e.g., Document control management software) Regularly review and adapt the roadmap based on progress, business needs, and emerging technologies - including communication with internal & external stakeholders Use Case Identification, Delivery & Change Management: Collaborate with OFSW and BESS delivery teams, and external consultants, to identify high-value Digital & AI use cases that improve operational efficiency, safety, and performance. Develop robust business cases and success metrics for proposed initiatives, ensuring stakeholder buy-in and measurable outcomes. Lead delivery of relevant Digital & AI projects alongside functional teams, ensuring timely execution, cross-functional coordination, and effective implementation / adoption. Cross-Team Enablement & Knowledge Sharing: Facilitate collaboration across departments to share AI use case learnings, best practices, and reusable tools or frameworks. Organize regular workshops, demos, and internal communications to promote awareness and adoption of AI solutions. Act as a central hub for capturing and distributing successful case studies across teams and regions. External Landscape Scanning & Stakeholder Alignment: Continuously scan the market for relevant external Digital & AI tools, platforms, and startups that can support or accelerate internal capabilities. Establish relationships with relevant potential partners & suppliers for Digital & AI use cases Engage with headquarters and global functions to align local efforts with group-wide Digital & AI programs and standards. Represent the GOFSW & UK perspective in AI forums/ taskforces, ensuring local needs are considere Qualifications Preferred Qualifications: Master's degree in Data Science, Computer Science, Engineering, Artificial Intelligence, or a related field. Professional certifications in AI, data analytics, agile project management (e.g., PMI-ACP, PRINCE2 Agile), or cloud technologies (e.g., AWS, Azure, GCP) preferred Training or background in energy systems, renewable energy, offshore wind or BESS technologies is a strong plus. Preferred Experience: 3 -5 years of experience in data / digital strategy, AI or digital transformation in a complex, cross-functional environment. Proven track record of delivering AI/ML initiatives from concept to deployment, including stakeholder engagement and change management. Familiarity with working in matrixed organizations and global teams, including alignment with central strategy and local execution. Exposure to vendor selection, startup partnerships, or emerging tech scouting in the AI/ML space. Job-Specific Skills: Exceptional strategic thinking & proven ability to lead & deliver strategic projects Strong understanding of AI/ML concepts, use case development, and model lifecycle considerations (e.g., MLOps, explainability, governance). Ability to translate complex technical opportunities into clear business cases with defined outcomes and KPIs. Skilled in stakeholder engagement, with the ability to bridge communication between technical teams, business units, and executives. Familiarity with data ecosystems, software platforms, and cloud environments commonly used in AI workflows (e.g., Azure ML, Databricks, Snowflake). Excellent organizational and program management skills, including planning, prioritization, and risk management. Strong verbal & written (e.g. powerpoint) presentation and storytelling abilities to communicate value and progress to both technical and non-technical audiences. Strong understanding of the complexity and challenges of driving/building a project delivery culture Strong interpersonal and communication skills to collaborate across global and regional teams. Entrepreneurial mindset, proactive at identifying and designing solutions to challenge Additional Information Masdar is the UAE's clean energy champion and one of the world's fastest growing renewable energy companies and a green hydrogen leader, placing the UAE at the forefront of the energy transition. As a pioneer in advancing the clean energy sector and a key enabler of the UAE's vision as a global leader in sustainability and climate action, Masdar has developed projects in more than 40 countries across six continents and has invested, or committed to invest, in worldwide projects with a combined value of more than US$30 billion. Masdar unites the UAE's three energy champions - Mubadala, ADNOC and TAQA - and will utilize their combined expertise to fulfill its purpose as a global clean energy pioneer across renewables and green hydrogen. Promoting innovation in solar, wind, energy storage, waste-to-energy, and geothermal energy, Masdar has a proven record of delivering pioneering projects using cutting-edge clean energy technologies, that are commercially viable and bankable. As part of the application process, we will collect, store and process personal information about you. Masdar will use your personal information in accordance with our Candidate Privacy Notice, which provides details on the purposes for which your data is processed.

Toluna is the global research and insights leader that enables businesses to make smarter, data-driven decisions - faster. For 25 years, we have partnered with the world's leading brands, delivering transformative impact through our advanced technology platform, comprehensive solution portfolio, expansive global first-party panel, and world-class team of leading research experts. Since 2019, we've made significant investments in artificial intelligence to enhance automation, accelerate insight delivery, and unlock deeper understanding at scale. With 40+ offices worldwide, Toluna operates in 70+ countries, redefining the future of insights. Learn more at Introduction We are looking for a talented innovator with strong mix of market research and data science skills. The right candidate will join Toluna Innovation Team to conduct experiments, evaluate or invent new tools, models or features, test and validate new capabilities, and devise innovation insights solutions to create value and growth for Toluna and its clients. This role will also serve as a liaison to Toluna's Advanced Analytics/Data Science team to collaborate on synthetic data and other analytic innovations. In addition, the innovator in this role must champion and effectively communicate Toluna's solutions and AI capabilities in client meetings, industry events, and thought leadership content. The Innovation Team is a part of Toluna's Insights and Innovation function. Responsibilities Be a subject matter expert on the application of AI/ML to solve common client problems Have a strong foundation in common statistical approaches used in market research and marketing Design and invent new, scalable approaches (tools, solutions, measures) that allow us to create more value (e.g., insight depth, increased speed to action) for Toluna's clients Conduct testing and validation of new AI capabilities. Scan the environment & seek stakeholder input for new ideas and tools and to understand common client pain points that Toluna can solve. Apply economic thinking and a forward mindset to identify value propositions and quantify business benefits of concepts so we can prioritize which to explore or develop. Write white papers or blog posts that promote the credibility of the science and/or rigor behind our approaches. Develop and maintain knowledge of the solutions offered across Toluna companies and the key systems used Required Skillset & Education 5+ years of research experience, including research design, data analysis & reporting Master's degree or equivalent in research, data science, statistics, psychology, sociology, political science or other relevant fields Experience working driving to outcomes in highly cross-functional roles Solid understanding theories of consumer behavior Demonstrate successful involvement in designing new ways to solve client pain points. Experience using R or Python, Github, VSCode and common 3rd party AI/ML models Able to solve problems creatively and independently. Adaptable, proactive & comfortable with uncertainty Excellent communication skills, including the ability to understand and communicate technical concepts in simpler terms to a broad range of audiences, including clients and internal colleagues. Our Values Acting with Ownership: Demonstrating individual accountability Bringing a Forward Mindset: Being action-oriented, bold & entrepreneurial Collaborating with Curiosity: Exhibiting teamwork through togetherness Discussing openly, committing jointly: Sharing your views openly Embracing Empathy: Being egoless & caring What we Offer Competitive salary package Annual bonuses Medical Insurance Life insurance Hybrid set-up At Toluna, we're all about creating a welcoming, diverse workplace where everyone can thrive. We offer competitive pay, great benefits, and plenty of opportunities to grow within our global team. Inclusion and respect are at the heart of what we do. Our community connects over 72 million people across 70 countries. If you're passionate about making an impact, we'd love to have you on board. Join our global team. We welcome big thinking and reward great work.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job CategorySalesJob Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Agentic Business Consultant, Agentforce Process Automation The Agentic Process Automation and Intelligence Consultant is the primary strategic driver for go-to-market motion for our agentforce process automation ( Regrello and Apromore). You will own the end-to-end value narrative-from initial discovery and use-case roadmapping to the delivery of high-stakes Proof of Concept (POC) engagements that prove the transformative power of these solutions. The process Consultant is not just a technical resource; it is Strategic Deal Execution. You will partner with Account Executives to lead deep discovery, identify high-value transformation opportunities across back-office business functions (Supply Chain, Finance, etc.), and prove the value of the "Agentic Enterprise." You own the value narrative-from the first pitch and process discovery to the delivery of high-stakes Proof of Concept (POC) engagements that secure the win. Key Responsibilities Strategic Value Selling: Serve as the primary solution leader on complex deals. You will pitch the vision of autonomous business processes and define the multi-year value roadmap for our most strategic customers. Value Architecting: Define and pitch a multi-year "Value Roadmap" for customers, moving beyond a single use case to show how Agentforce can transform their entire operations. Executive Influence: Act as the primary subject matter expert (SME) in C-suite presentations, translating technical "Agentic" capabilities into business outcomes like working capital optimization and risk mitigation. Solution Proof & Validation: Lead and manage 4-5 week POC engagements. While you will build, the focus is on proving the business case and securing technical buy-in to close the deal. Cross-Functional GTM Strategy : Partner with Product and Engineering to provide real-world feedback, ensuring the Regrello roadmap aligns with the "big rock" problems you are solving in the field. Quota Ownership : Drive revenue growth as part of a commissionable team, taking accountability for deal velocity and win rates within the Regrello/Apromore portfolio. Experience/Skills Required - 6+ years of relevant experience in one or more of the following: Technical Sales, Solutions Engineering, Business Value Consulting, Technology Consulting, or Customer Success- Familiarity with supply chain management, financial services, or workflow automation platforms- Master of Discovery: Proven ability to lead "whiteboard" sessions that challenge a customer's current state and build a compelling vision for a future state.- Technical Fluency: Ability to "roll up sleeves" and configure solutions (POCs) using no-code tools, but always through the lens of solving a specific business problem.- Executive Presence: Exceptional ability to communicate complex AI and automation concepts to stakeholders ranging from Warehouse Managers to Chief Supply Chain Officers.- Ability to thrive in an agile, fast-scaling environment - often operating as the subject matter expert on a cross-functional deal team- Experience working in or alongside quota-carrying roles with MBO or KSO-based incentive structuresUnleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this .Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.Posting StatementAny employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Senior Manager (AI & Data Architect) - London As the world's leading change and transformation consultancy, we help businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last. We are seeking a Senior Manager (AI & Data Architect) in London within our Technology and Data practice to help us bring our vision to value and create a lasting impact. Summary This role is primarily responsible for leading our AI initiatives within the Tech & Data practice, balancing hands on delivery with business development. You will drive AI strategy, adoption, governance, and implementation for our clients, leveraging cloud platforms, data architecture expertise, and modern analytical techniques. Responsibilities Lead AI strategy and implementation projects, balancing technical expertise with business value creation for our clients. Drive business development for AI services, identifying opportunities and building relationships with key stakeholders. Collaborate with cross functional teams to design, develop, and implement AI solutions that address complex business challenges. Architect AI solutions that integrate with cloud platforms, data management systems, and existing client infrastructure. Demonstrate hands on technical leadership in AI projects, from concept to implementation and evaluation. Guide the development of AI models, ensuring ethical implementation, robust governance, and measurable business outcomes. Translate complex AI concepts into compelling narratives and actionable recommendations for both technical and non technical stakeholders. Lead discovery workshops with clients to understand business requirements and translate them into scalable AI solutions. Mentor and develop consultants within multi disciplinary and multi location teams, fostering their professional growth. Contribute to thought leadership in AI, including articles, speaking engagements, and client facing materials. Show a bias to action through high quality hands on work delivered on time and on budget to our clients. Develop and implement AI adoption strategies and governance frameworks for clients at various stages of AI maturity. Design and deliver AI upskilling programmes for both client teams and internal consultants. Adopt and communicate new concepts, ideas, techniques, and best practices in AI, including prototyping new methods, tools and products. Qualifications Bachelor's or equivalent degree in computer science, data science, artificial intelligence, or a related field; advanced degree preferred. 5+ years of experience in AI, data science and/or data architecture, including both delivery and business development aspects. Proven experience leading AI projects from concept to implementation, with demonstrable business outcomes. Strong understanding of cloud platforms (AWS, Azure, GCP) and modern data platforms (Snowflake, Databricks) along with their AI/ML services. Comprehensive knowledge of data management principles, data architecture, and integration patterns. Experience in leading multi disciplinary teams across multiple locations. Demonstrated ability to mentor and develop consultants, supporting their professional growth and AI upskilling. Strong business development skills, including opportunity identification, proposal development, and client relationship management. Hands on technical skills in AI/ML technologies, frameworks, and methodologies. Experience in AI governance, responsible AI frameworks, and ethical AI implementation. Experience with Automation using Agentic AI, including designing and implementing autonomous AI systems that can perform complex tasks with minimal human intervention. Expertise in designing and implementing AI adoption strategies across different organisational functions. Track record of successful AI upskilling initiatives for technical and non technical audiences. Excellent communication skills with the ability to translate complex technical concepts to diverse audiences. Adaptable working style with the ability to collaborate effectively in dynamic environments. Travel Regional travel expected on an as needed basis depending on client needs, up to 50%. Total Rewards Comprehensive benefits package designed to support your well being and financial security. Unique perks include flexible time off, a private medical plan, a health cash plan, a workplace savings scheme (including ISAs and GIAs), and enhanced parental leave. EEO Statement North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance with local privacy standards and maintain strict confidentiality.

EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare and life sciences, banking and capital markets, retail, communications and media, and energy and infrastructure, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have over 65,000 employees spanning six continents. For more information, visit. BU/Segment: International Growth Markets / AI & Data Solutions Location: EXL London. Employment Type: Apprenticeship (Permanent on completion) Key Responsibilities As a Junior AI Consultant Apprentice at EXL, you will support the design, architecture, and implementation of agentic AI solutions and AI-enabled enterprise. You will work alongside senior AI architects and consultants to help shape next-generation AI systems that combine GenAI, agentic automation, data intelligence, and enterprise application integration. AI-enabled systems & agentic AI support Support design and prototyping of agentic AI applications embedded into client workflows Assist in building tool-enabled AI agents, orchestrating APIs, knowledge sources, and enterprise systems Participate in evaluating AI system behaviour (accuracy, drift, reliability, safety) Help configure enterprise AI applications using EXL's toolkits and accelerators AI systems architecture & workflow integration You will support senior architects to: Map current client processes and identify opportunities for embedded AI Design end-to-end AI architectures including memory models, orchestration layers, vector stores, and workflow integration patterns Assist in documenting solution architectures, data flows, and integration designs Help prepare architectural artefacts for client presentations (diagrams, solution blueprints, implementation plans) You will work on AI use cases across: Banking - KYC/AML workflow AI, credit operations, customer servicing Energy & Utilities - field operations, network planning, customer queries Retail - demand forecasting, merchandising, customer support workflows Your contribution will focus on translating industry problems into AI-enabled solutions. You will: Support proposal creation, case studies, POVs, AI maturity assessments Help prepare demos for client meetings, including AI agent workflows Assist senior team members in producing slide decks & architectural narratives Contribute to benchmarking, competitive analysis, and value case modelling Responsible AI & Governance You will: Apply principles of safe AI, EU AI Act and FCA-aligned controls Support testing and evaluation frameworks (TEVV) including: Accuracy, precision/recall 'Groundedness' Consistency Safety checks Help maintain audit trails, evaluation logs, and architecture documentation You must have foundational knowledge or experience in: Understanding of AI concepts: LLMs, RAG, agentic workflows, vector databases Basics of enterprise workflows and integration patterns Fundamentals of cloud platforms (Azure, AWS, GCP) and modern application architectures Familiarity with Python or TypeScript for prototyping Basic understanding of data models and APIs Strong analytical and problem-structuring ability Ability to break down business processes and map AI opportunities Clear communicator capable of producing client-ready materials Interest in architecture (logical diagrams, solution blueprints, systems thinking) Ability to collaborate across business, IT, and data teams Training Apprenticeships include time away from working for specialist training. You'll study to gain professional knowledge and skills. Training provider: JUST IT TRAINING LIMITED Training course: Artificial intelligence (AI) and automation practitioner (level 4) What you'll learn Course contents include (but are not limited to): Review, establish, follow and/or amend policies and procedures on data and information security Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters Undertake analysis to identify if automation is viable, including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects (such as the impact on job roles) Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented Support with the introduction, adaption, and implementation of change Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions Use automation design tools (e.g., Zapier, Make, Power Automate) to configure, adapt and implement solutions Create and refine prompts for AI tools using iterative testing Apply analytical and computational techniques to design, evaluate, and optimise automation solutions Integrate AI and automation technologies using APIs, connectors, or low/no-code methods Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs Identify opportunities to deliver automation and support evidence-based suggestions for governance and improvement (e.g., cost benefit analysis) Contribute to sustainable and efficient AI and automation solutions Support delivery of training and creation of resources (user guides, training materials, process documents) Undertake assurance activities to evidence responsible AI, including documentation, risk assessments, and compliance with regulatory and ethical standards Apply algorithmic impact assessment and workforce equality monitoring techniques Training schedule An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying. Artificial intelligence (AI) and Automation Practitioner standard Level 4 You will also receive full training and support from the Leep Talent Apprenticeship team to increase your skills. Your training will include gaining a Level 4 Artificial intelligence (AI) and Automation Practitioner qualification. Learners can gain these optional exams at the end of the programme: Maths (grade 4/C +) Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know. Skills Customer care skills Analytical skills Logical Creative Initiative Interest in AI Motivated Interest in architecture Tech Savvy After this apprenticeship Over 90% of our apprentices move on to permanent full-time employment in the tech industry. There are also opportunities to extend your training with a higher-level Apprenticeship Programme. We have already helped over 1000 people start their tech and digital careers with an apprenticeship. To be considered for this role, you must already be eligible to work in the relevant location.

Porterbrook is the UK's leading rolling stock financier and asset management company. We've been at the heart of the rail network for over three decades with 4000 vehicles in our diverse portfolio of passenger and freight trains. As a partner that adds value to the railway today and for the future, we've invested over £3.5bn in new rolling stock and we're actively looking to invest a further £1bn in the years ahead. Since 2020, this includes over £550 million in new trains, fleet upgrades, traction innovation and rail infrastructure. Sustainability is embedded in our decision making, and we've been named the global sector leader in the annual GRESB sustainability assessment for the last four years. Our teams are leading some of the most exciting innovations taking place in the railway today at our offices in Derby and London, and the Long Marston Rail Innovation Centre in Warwickshire. The 135-acre site is an invaluable asset for the railway to test and trial new traction technologies. The Porterbrook group of companies is wholly owned by supportive long-term institutional investors, fully committed to the future of the UK rail sector. About the team We have over 100 engineers and fleet support staff working directly on our passenger fleets, alongside experienced key relationship managers with a deep understanding of our customers' needs and expectations on their existing fleets, and investment in new rolling stock. About the role A great opportunity for an exceptional Electrical & ETCS Systems Engineer, to join the Porterbrook team. Role Purpose To act as Technical Expert on ETCS and key train electrical systems, providing internal engineering consultancy, project partnering and expert engineering advice to Fleet Services, Engineering Services, external stakeholders and the wider business - including Projects, Strategy & Sustainability, new build procurement and Long Marston. Key Responsibilities Act as Porterbrook's centre of expertise for electrical & ETCS systems on Traction & rolling-stock Lead or support technical investigations into equipment failures, support complex warranty claims and joint investigations. This will involve attendance and witnessing issues etc at manufacturing sites and depots from time to time, occasionally outside office hours. Act as a technical project partner for allocated projects (ie. complex or innovative projects), in support of wider business objectives Lead internal technical consultancy workstreams, including the management and coordination of external consultants and suppliers, to deliver technical services to the business. Ensure that staff, consultants and contractors working under your direction have appropriate technical competencies to undertake their work. Lead and act as project manager for assigned workstreams with an electrical systems focus as identified by the business, to meet safety, quality, cost and timescale requirements. Investigate assigned National Incident Reports and identify, lead and manage appropriate remedial actions. These would normally be NIRs/PIRs that cover multiple fleets, fleets owned by other asset owners or those that have a complex technical bias Support Fleet Platform Strategy team in delivering strategic fleet solutions Maintain market awareness of new products & developments, and evaluate on behalf of the wider business. Build relationships with existing suppliers and any new players in the supply chain, and monitor the quality of products and engineering activities including site visits as required. Lead or support product development and obsolescence management when the need is identified by the Fleet Services team, the Engineering Services team or the wider business, including supporting formulation of business cases Support and provide input to Porterbrook's Digital Services team, in their provision of analytics, artificial intelligence and remote condition monitoring system development as appropriate Attend, inform or support on specific technical workstreams as required, including internal forums such as Technical Committee or Project review meetings Regularly report on progress on owned workstreams, including updates for Engineering Services team meetings Lead and review as appropriate engineering change proposals raised by suppliers, customers or internally Represent Porterbrook at relevant cross-industry forums and working groups, leading & managing as designated Awareness of business metrics such as companywide KPIs, and contribute to their achievement Promote and support a culture of safety at all times and in all work locations Other Duties: Coordinate and monitor the activities of external consultants and suppliers working under your direction to ensure that the output being achieved is at an acceptable level and to safety, quality, cost and timescale requirements To support graduates, year in industry students and work experience students placed in the Technical Services team Skills / Experience Railway knowledge with appropriate Traction and Rolling Stock technical experience of at least 5 years. The incumbent shall be experienced in dealing with customer and stakeholder engagement, managing projects, supplier liaison and have commercial awareness What you'll need to have Ideally Chartered or Incorporated Membership of Engineering Institution or working towards this goal Degree, HNC or equivalent in Electrical Engineering or a similar discipline Extensive knowledge of ETCS and electrical systems Good knowledge of railway industry rolling stock, organisation and players Knowledge of standards and legislation Knowledge of rail leasing and commercial environment is desirable Knowledge and understanding of asset management requirements Ability to understand and comment upon engineering instructions, drawings and schematics Ability to understand vehicle maintenance and overhaul requirements Understanding of whole life costs of trains and systems Knowledge of remote condition monitoring systems and how they are used in rail Awareness of infrastructure, electrification and train maintenance facilities is desirable It would be great if you also had Ability to plan, manage and deliver to meet business objectives Open-minded to new ideas and new ways of working Well organised with an eye for detail Good oral and written communication skills Financial and budgeting awareness Team player Interpersonal capability / relationship management Ability to work in accordance with Porterbrook's procedures Computer literacy (especially Microsoft Office applications) A great place to work People are the heart of Porterbrook. Our close knit team is diverse, supportive and flexible. We have a collaborative work ethic both within the company and with our customers and suppliers. In recognition of this we have been awarded: Investors in People Gold accreditation Investors in People 'We Invest in Wellbeing' Gold accreditation National Rail Awards 2023 Fleet Achievement of the Year National Rail Awards 2023 Safety Achievement of the Year These accolades reflect the company's dedication to creating a supportive and inclusive workplace where employees are empowered to thrive. To learn more about why Porterbrook is a great place to work please visit our website and follow us on social media. We are seeking the very best talent to join the team, and offer an excellent salary, along with bonus and benefits. This is a fantastic opportunity to join a great organisation with outstanding people and a road map for the future to grow and develop the business. Some of our benefits are listed below: 1.5x employer contributory pension scheme Financial wellbeing support Enhanced family friendly policies Adoption & Shared Parental Leave benefits Enhanced Armed Forces policies Ongoing support with professional and personal development Long service awards 25 days' annual leave + Bank Holidays + option to buy and sell up to 5 days' additional leave Additional days annual leave for long service Season ticket loan Should you be suitable for the role, the full benefits package will be discussed in more detail during your screening call. We aspire to have a diverse and inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join us on our journey. Accessibility We're committed to helping you perform at your best throughout the recruitment process. If you have a disability or need any reasonable adjustments during the application and selection stages, please get in touch with us at . We'll be happy to discuss how we can assist. To apply Please follow the link at the top of this page to send your CV and a covering email with full details of why you would be a great addition to the Porterbrook team, along with details of your current salary and notice period. This vacancy may close at any time once sufficient applications have been received. Early submission of your application is therefore encouraged. What happens next? Once your application has been reviewed, our recruitment team will be in contact. Our interview process is typically two stages to ensure a thorough evaluation while providing a chance for you to showcase your skills and fit for our team . click apply for full job details